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1.
BMC Complement Altern Med ; 17(1): 34, 2017 Jan 10.
Article in English | MEDLINE | ID: mdl-28069007

ABSTRACT

BACKGROUND: Monoamine oxidase-B (MAO-B) inhibitors are widely used in the treatment of Parkinson's disease. They increase vital monoamine neurotransmitters in the brain. However, there is a need for safer natural reversible MAO inhibitors with MAO-B selectivity. Our previous studies showed that Psoralea corylifolia seeds (PCS) extract contains compounds that inhibit monoamine oxidase-B. METHODS: In this study, six of PCS constituents sharing a benzopyrone structure were investigated. The compounds Biochanin-A (BIO-A), isopsoralen, 6-prenylnaringenin, neobavaisoflavone, psoralen, and psoralidin, were tested for their ability to inhibit recombinant human MAO-A and B (hMAO-A and hMAO-B) isozymes. The ability of these compounds to inhibit MAO-A and MAO-B were compared to that of PCS ethanolic extract (PCSEE) using spectrophotometric assays and confirmed by luminescence assays. The highly potent and selective MAO-B inhibitor, BIO-A, was further investigated for both isozymes reversibility and enzyme kinetics. Molecular docking studies were used to predict the bioactive conformation and molecular interactions of BIO-A with both isozymes. RESULTS: The data obtained indicate that benzopyrones inhibited hMAO-A and hMAO-B with different degrees as confirmed with the luminescence assay. BIO-A inhibited hMAO-B with high potency and selectivity in the present study (IC50 = 0.003 µg/mL) and showing 38-fold more selectivity than PCSEE (hMAO-B IC50 = 3.03 µg/mL, 17-fold selectivity) without affecting hydrogen peroxide. Furthermore, BIO-A reversibly and competitively inhibited both hMAOs with significantly lower inhibitory constant (Ki) in hMAO-B (3.8 nM) than hMAO-A (99.3 nM). Our docking studies indicated that the H-bonds and hydrophobic interactions at the human MAO-A and MAO-B active sites contributed to the reversibility and selectivity of BIO-A. CONCLUSIONS: The data obtained indicate that BIO-A is a potent, reversible and selective MAO-B inhibitor and may be recommended for further investigation in its possible use in the therapeutic management of Parkinson's and Alzheimer's diseases.


Subject(s)
Benzoquinones/chemistry , Genistein/chemistry , Monoamine Oxidase Inhibitors/chemistry , Monoamine Oxidase/chemistry , Plant Extracts/chemistry , Psoralea/chemistry , Binding, Competitive , Humans , Kinetics , Molecular Docking Simulation , Molecular Structure , Monoamine Oxidase/metabolism
2.
Bioorg Med Chem ; 21(22): 7194-201, 2013 Nov 15.
Article in English | MEDLINE | ID: mdl-24080102

ABSTRACT

The 3-dimensional quantitative structure-activity relationship (3D-QSAR) molecular modeling technique or comparative molecular field analysis (CoMFA) has been used to design analogs of the natural product cryptolepine (1). Twenty-three compounds with their in vitro biological activities (IC50 values) against Crytococcus neoformans were used to generate the training set database of compounds for the CoMFA studies. The cross-validated q(2), noncross-validated r(2), and partial least squares (PLS) analysis results were used to predict the biological activity of 11 newly designed test set compounds. The best CoMFA model produced a q(2) of 0.815 and an r(2) of 0.976 indicating high statistical significance as a predictive model. The steric and electrostatic contributions from the contour map were interpreted from the color-coded contour plots generated from the PLS model and the active structural components for potency against C. neoformans were determined and validated in the test set compounds. The 3-substituted benzylthio quinolinium salts (4) that make up the test set were synthesized and evaluated based on the predicted activity from the CoMFA model and the results produced a good correlation between the predicted and experimental activity (R=0.82). Thus, CoMFA has served as an effective tool to aid the design of new analogs and in this case, it has aided the identification of compounds equipotent with amphotericin B, the gold standard in antifungal drug design.


Subject(s)
Antifungal Agents/chemistry , Antifungal Agents/pharmacology , Cryptococcus/drug effects , Quantitative Structure-Activity Relationship , Quinolinium Compounds/chemistry , Quinolinium Compounds/pharmacology , Sulfhydryl Compounds/chemistry , Animals , Basidiomycota/drug effects , Cell Survival/drug effects , Chlorocebus aethiops , Indole Alkaloids/chemistry , Least-Squares Analysis , Quinolines/chemistry , Quinolinium Compounds/chemical synthesis , Reproducibility of Results , Vero Cells
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